Ilija Bogunovic

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All published works

Action	Title	Year	Authors
+ PDF Chat	No-Regret Linear Bandits under Gap-Adjusted Misspecification	2025	Chong Liu Dan Qiao Ming Yin Ilija Bogunovic Yu-Xiang Wang
+ PDF Chat	Sample-Efficient Regret-Minimizing Double Oracle in Extensive-Form Games	2024	Xiaohang Tang C. -C. Wang Chengdong Ma Ilija Bogunovic Stephen McAleer Yaodong Yang
+ PDF Chat	Sample-efficient Bayesian Optimisation Using Known Invariances	2024	T. D. K. Brown Alexandru Cioba Ilija Bogunovic
+ PDF Chat	Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift	2024	Seongho Son William Bankes Sayak Ray Chowdhury Brooks Paige Ilija Bogunovic
+ PDF Chat	Adversarial Robust Decision Transformer: Enhancing Robustness of RvS via Minimax Returns-to-go	2024	Xiaohang Tang Afonso Marques Parameswaran Kamalaruban Ilija Bogunovic
+ PDF Chat	Group Robust Preference Optimization in Reward-free RLHF	2024	Shyam Sundhar Ramesh Yifan Hu Iason Chaimalas Viraj Mehta Pier Giuseppe Sessa Haitham Bou Ammar Ilija Bogunovic
+ PDF Chat	PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks	2024	Ziquan Liu Zhuo Zhi Ilija Bogunovic Carsten Gerner‐Beuerle Miguel R. D. Rodrigues
+	Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning	2023	V. M. Tkachuk Seyed Alireza Bakhtiari Johannes Kirschner Matej Jusup Ilija Bogunovic Csaba Szepesvári
+	Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning	2023	Matej Jusup Barna Pásztor Tadeusz J. Janik Kenan Zhang Francesco Corman Andreas Krause Ilija Bogunovic
+	Distributionally Robust Model-based Reinforcement Learning with Large State Spaces	2023	Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic
+	Robust Best-arm Identification in Linear Bandits	2023	Sheng Wang Sattar Vakili Ilija Bogunovic
+	Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration	2023	Viraj Mehta Vikramjeet Das Ojash Neopane Yijia Dai Ilija Bogunovic Jeff Schneider Willie Neiswanger
+	REDUCR: Robust Data Downsampling Using Class Priority Reweighting	2023	William Bankes G. E. Hughes Ilija Bogunovic Zi Wang
+	A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits	2022	Ilija Bogunovic Zihan Li Andreas Krause Jonathan Scarlett
+	Graph Neural Network Bandits	2022	Parnian Kassraie Andreas Krause Ilija Bogunovic
+	Near-optimal Policy Identification in Active Reinforcement Learning	2022	Xiang Li Viraj Mehta Johannes Kirschner Ian Char Willie Neiswanger Jeff Schneider Andreas Krause Ilija Bogunovic
+	Movement Penalized Bayesian Optimization with Application to Wind Energy Systems	2022	Shyam Sundhar Ramesh Pier Giuseppe Sessa Andreas Krause Ilija Bogunovic
+	Misspecified Gaussian Process Bandit Optimization	2021	Ilija Bogunovic Andreas Krause
+	Misspecified Gaussian Process Bandit Optimization	2021	Ilija Bogunovic Andreas Krause
+	Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning	2021	Barna Pásztor Ilija Bogunovic Andreas Krause
+ PDF Chat	Cost-Efficient Online Hyperparameter Optimization	2021	Jingkang Wang Mengye Ren Ilija Bogunovic Yuwen Xiong Raquel Urtasun
+	Cost-Efficient Online Hyperparameter Optimization	2021	Jingkang Wang Mengye Ren Ilija Bogunovic Yuwen Xiong Raquel Urtasun
+	Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning	2021	Sebastian Curi Ilija Bogunovic Andreas Krause
+	Misspecified Gaussian Process Bandit Optimization	2021	Ilija Bogunovic Andreas Krause
+	Risk-averse Heteroscedastic Bayesian Optimization	2021	Anastasiia Makarova Ilnura Usmanova Ilija Bogunovic Andreas Krause
+	Contextual Games: Multi-Agent Learning with Side Information	2021	Pier Giuseppe Sessa Ilija Bogunovic Andreas Krause Maryam Kamgarpour
+	Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning	2021	Barna Pásztor Ilija Bogunovic Andreas Krause
+	Stochastic Linear Bandits Robust to Adversarial Attacks	2020	Ilija Bogunovic Arpan Losalka Andreas Krause Jonathan Scarlett
+	Mixed Strategies for Robust Optimization of Unknown Objectives	2020	Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause
+	Distributionally Robust Bayesian Optimization	2020	Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause
+	Distributionally Robust Bayesian Optimization	2020	Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause
+	Corruption-Tolerant Gaussian Process Bandit Optimization	2020	Ilija Bogunovic Andreas Krause Jonathan Scarlett
+	Learning to Play Sequential Games versus Unknown Opponents	2020	Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause
+	Stochastic Linear Bandits Robust to Adversarial Attacks	2020	Ilija Bogunovic Arpan Losalka Andreas Krause Jonathan Scarlett
+	Mixed Strategies for Robust Optimization of Unknown Objectives	2020	Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause
+	No-Regret Learning in Unknown Games with Correlated Payoffs	2019	Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause
+	No-Regret Learning in Unknown Games with Correlated Payoffs	2019	Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause
+	High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups	2018	Paul Rolland Jonathan Scarlett Ilija Bogunovic Volkan Cevher
+	Robust Maximization of Non-Submodular Objectives	2018	Ilija Bogunovic Junyao Zhao Volkan Cevher
+	Adversarially Robust Optimization with Gaussian Processes	2018	Ilija Bogunovic Jonathan Scarlett Stefanie Jegelka Volkan Cevher
+	High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups	2018	Paul Rolland Jonathan Scarlett Ilija Bogunovic Volkan Cevher
+	Robust Submodular Maximization: A Non-Uniform Partitioning Approach	2017	Ilija Bogunovic Slobodan Mitrović Jonathan Scarlett Volkan Cevher
+	Robust Submodular Maximization: A Non-Uniform Partitioning Approach	2017	Ilija Bogunovic Slobodan Mitrović Jonathan Scarlett Volkan Cevher
+	Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach	2017	Slobodan Mitrović Ilija Bogunovic Ashkan Norouzi-Fard Jakub Tarnawski Volkan Cevher
+	Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation	2016	Ilija Bogunovic Jonathan Scarlett Andreas Krause Volkan Cevher
+	Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation	2016	Ilija Bogunovic Jonathan Scarlett Andreas Krause Volkan Cevher
+ PDF Chat	Learning-Based Compressive Subsampling	2016	Luca Baldassarre Yen-Huan Li Jonathan Scarlett Baran Gözcü Ilija Bogunovic Volkan Cevher
+	An Efficient Streaming Algorithm for the Submodular Cover Problem	2016	Ashkan Norouzi-Fard Abbas Bazzi Marwa El Halabi Ilija Bogunovic Ya-Ping Hsieh Volkan Cevher
+	Time-Varying Gaussian Process Bandit Optimization	2016	Ilija Bogunovic Jonathan Scarlett Volkan Cevher
+	Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation	2016	Ilija Bogunovic Jonathan Scarlett Andreas Krause Volkan Cevher
+	Near-Optimally Teaching the Crowd to Classify	2014	Adish Singla Ilija Bogunovic Gábor Bartók Amin Karbasi Andreas Krause

Common Coauthors

Coauthor	Papers Together
Andreas Krause	27
Jonathan Scarlett	14
Volkan Cevher	13
Pier Giuseppe Sessa	9
Maryam Kamgarpour	6
Johannes Kirschner	4
Barna Pásztor	3
Shyam Sundhar Ramesh	3
Viraj Mehta	3
Stefanie Jegelka	3
Matej Jusup	2
Willie Neiswanger	2
William Bankes	2
Yuwen Xiong	2
Ashkan Norouzi-Fard	2
Jeff Schneider	2
Raquel Urtasun	2
Mengye Ren	2
Arpan Losalka	2
Xiaohang Tang	2
Jingkang Wang	2
Slobodan Mitrović	2
T. D. K. Brown	1
Sayak Ray Chowdhury	1
Vikramjeet Das	1
Ming Yin	1
Abbas Bazzi	1
Stephen McAleer	1
Csaba Szepesvári	1
Andreas Krause	1
Carsten Gerner‐Beuerle	1
Jakub Tarnawski	1
Yifan Hu	1
Paul Rolland	1
Ojash Neopane	1
Yen-Huan Li	1
Yaodong Yang	1
Parameswaran Kamalaruban	1
Iason Chaimalas	1
Haitham Bou Ammar	1
Xiang Li	1
Zi Wang	1
Sheng Wang	1
Zihan Li	1
Junyao Zhao	1
Dan Qiao	1
Yijia Dai	1
Ya-Ping Hsieh	1
Ziquan Liu	1
Yifan Hu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	On Kernelized Multi-armed Bandits	2017	Sayak Ray Chowdhury Aditya Gopalan	5
+	Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation	2016	Ilija Bogunovic Jonathan Scarlett Andreas Krause Volkan Cevher	4
+	Streaming kernel regression with provably adaptive mean, variance, and regularization	2017	Audrey Durand Odalric-Ambrym Maillard Joëlle Pineau	3
+	Max-value Entropy Search for Efficient Bayesian Optimization	2017	Zi Wang Stefanie Jegelka	3
+	Finite-Time Analysis of Kernelised Contextual Bandits	2013	Michal Vaľko Nathan Korda Rémi Munos Ilias Flaounas Nello Cristianini	3
+	Practical Bayesian Optimization of Machine Learning Algorithms	2012	Jasper Snoek Hugo Larochelle Ryan P. Adams	3
+	No-Regret Learning in Unknown Games with Correlated Payoffs	2019	Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause	3
+ PDF Chat	Robust Monotone Submodular Function Maximization	2016	James B. Orlin Andreas S. Schulz Rajan Udwani	3
+ PDF Chat	Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting	2012	Niranjan Srinivas Andreas Krause Sham M. Kakade Matthias Seeger	3
+ PDF Chat	The Equivalence of Two Extremum Problems	1960	J. Kiefer J. Wolfowitz	2
+	Practical Bayesian optimization in the presence of outliers	2018	Rubén Martínez-Cantín Kevin Tee Michael McCourt	2
+	Stochastic Bandits with Context Distributions	2019	Johannes Kirschner Andreas Krause	2
+ PDF Chat	A contextual-bandit approach to personalized news article recommendation	2010	Lihong Li Wei Chu John Langford Robert E. Schapire	2
+	Provably Efficient Reinforcement Learning with Linear Function Approximation	2019	Chi Jin Zhuoran Yang Zhaoran Wang Michael I. Jordan	2
+	Stochastic Linear Optimization with Adversarial Corruption.	2019	Yingkai Li Edmund Y. Lou Liren Shan	2
+	High Dimensional Bayesian Optimisation and Bandits via Additive Models	2015	Kirthevasan Kandasamy Jeff Schneider Barnabás Póczos	2
+	Robust Influence Maximization	2016	Xinran He David Kempe	2
+	Robust Influence Maximization	2016	Wei Chen Tian Lin Zihan Tan Mingfei Zhao Xuren Zhou	2
+	Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models	2018	Kurtland Chua Roberto Calandra Rowan McAllister Sergey Levine	2
+ PDF Chat	Misspecified Linear Bandits	2017	Avishek Ghosh Sayak Ray Chowdhury Aditya Gopalan	2
+	Distributionally Robust Bayesian Quadrature Optimization	2020	Thanh Nguyen-Tang Sunil Gupta Huong Ha Santu Rana Svetha Venkatesh	2
+ PDF Chat	Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration	2013	Emile Contal David Buffoni Alexandre Robicquet Nicolas Vayatis	2
+	Gaussian process bandits with adaptive discretization	2018	Shubhanshu Shekhar Tara Javidi	2
+	Certifying Some Distributional Robustness with Principled Adversarial Training	2017	Aman Sinha Hongseok Namkoong Riccardo Volpi John C. Duchi	2
+ PDF Chat	Unscented Bayesian optimization for safe robot grasping	2016	José Duarte Nogueira Rubén Martínez-Cantín Alexandre Bernardino Lorenzo Jamone	2
+	Freeze-Thaw Bayesian Optimization	2014	Kevin Swersky Jasper Snoek Ryan P. Adams	2
+	Predictive Entropy Search for Efficient Global Optimization of Black-box Functions	2014	José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani	2
+	Stochastic bandits robust to adversarial corruptions	2018	Thodoris Lykouris Vahab Mirrokni Renato Paes Leme	2
+	Simple conditions for the convergence of the Gibbs sampler and Metropolis-Hastings algorithms	1994	Gareth O. Roberts A. F. M. Smith	1
+ PDF Chat	Submodular Approximation: Sampling-based Algorithms and Lower Bounds	2011	Zoya Svitkina Lisa Fleischer	1
+ PDF Chat	Jeux à champ moyen. II – Horizon fini et contrôle optimal	2006	Jean‐Michel Lasry Pierre‐Louis Lions	1
+ PDF Chat	On the limited memory BFGS method for large scale optimization	1989	Cheng‐Di Dong Jorge Nocedal	1
+	Group-Sparse Model Selection: Hardness and Relaxations	2013	Luca Baldassarre Nirav Bhan Volkan Cevher Anastasios Kyrillidis Siddhartha Satpathi	1
+	Interior-Point Polynomial Algorithms in Convex Programming	1994	Yurii Nesterov Arkadi Nemirovski	1
+ PDF Chat	Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems	2012	Sébastien Bubeck Nicolò Cesa‐Bianchi	1
+ PDF Chat	Analytical approach to parallel repetition	2014	Irit Dinur David Steurer	1
+	A Primal-Dual Algorithmic Framework for Constrained Convex Minimization	2014	Quoc Tran Dinh Volkan Cevher	1
+	Modern statistical estimation via oracle inequalities	2006	Emmanuel J. Candès	1
+ PDF Chat	Robust Markov Decision Processes	2012	Wolfram Wiesemann Daniel Kühn Berç Rüstem	1
+ PDF Chat	Defining and evaluating network communities based on ground-truth	2013	Jaewon Yang Jure Leskovec	1
+	A totally unimodular view of structured sparsity	2014	Marwa El Halabi Volkan Cevher	1
+	On asymptotic structure in compressed sensing	2014	Bogdan Roman Anders C. Hansen Ben Adcock	1
+ PDF Chat	Learning in a Changing World: Restless Multiarmed Bandit With Unknown Dynamics	2012	Haoyang Liu Keqin Liu Qing Zhao	1
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	1
+ PDF Chat	Mean shift, mode seeking, and clustering	1995	Yizong Cheng	1
+ PDF Chat	NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings	2015	Chinmay Hegde Aswin C. Sankaranarayanan Wotao Yin Richard G. Baraniuk	1
+ PDF Chat	Robust lower bounds for communication and stream computation	2008	Amit Chakrabarti Graham Cormode Andrew McGregor	1
+ PDF Chat	Discovering social circles in ego networks	2014	Julian McAuley Jure Leskovec	1
+	Algorithms for subset selection in linear regression	2008	Abhimanyu Das David Kempe	1
+ PDF Chat	Mean Field Games and Applications	2010	Olivier Guéant Jean‐Michel Lasry Pierre Louis Lions	1